AI Security Senior Manager
About The Position
As a Senior Manager in Deloitte Cyber's Cyber for AI practice, specializing in Strategy, Growth, and Transformation, you will help clients address AI cybersecurity, governance, and risk strategy challenges as they scale generative AI and agentic systems across their enterprises. The role combines executive client leadership and strategic solution delivery, drawing on AI cyber risk and governance expertise to guide technical teams across Data, Infrastructure, Identity, Security Operations, and Application Security. You will lead teams, shape solutions during pursuits, develop reusable accelerators, and drive high-quality client and team outcomes. The role focuses on developing and transforming cyber programs in line with client strategic objectives, regulatory requirements, and risk appetite. This includes advising enterprise leaders, leading complex AI security strategy projects and implementations, defining governance and control patterns, overseeing cross-functional technical delivery, growing client accounts, and building practice capabilities. Recruiting for this role ends on 12/31/2026. Travel averages 25–50%, depending on the work and clients served. Limited immigration sponsorship may be available.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, or Risk Management.
- At least 8 years of combined cybersecurity, risk management, or technology consulting experience.
- Experience advising executives on AI/ML or emerging technology risk.
- Experience leading enterprise AI governance, risk, or security strategy programs, including cross-functional delivery spanning identity, data, infrastructure, and application security domains.
- Experience with AI/ML architectures and generative AI or agentic system risk, including reviewing technical design and engaging with engineering leaders.
- Experience applying AI risk and security frameworks or regulations, such as NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, MITRE ATLAS, the EU AI Act, or sector-specific guidance.
- Experience overseeing enterprise-scale, multi-workstream programs from strategic recommendations through technical implementation, including delivery risk management.
- Experience leading client engagements, technical and strategic pursuits, executive relationships, delivery quality, and account growth.
- Ability to travel 25–50% on average, depending on work, clients, and industries or sectors served.
- Ability to work independently and collaboratively, communicate effectively in writing and verbally, and maintain careful attention to detail and quality.
- Ability to build and sustain professional relationships, lead projects or workstreams, prioritize tasks in a fast-paced environment, meet deadlines, and mentor others.
- Strong interpersonal skills and professional demeanor.
Nice To Haves
- Experience designing enterprise AI cybersecurity controls, governance operating models, or AI risk reporting for executive or board stakeholders.
- Experience with AI threat modeling, red teaming, or AI security evaluation programs.
- Experience developing offerings, alliance relationships, or market-facing points of view in AI security strategy.
- Experience with AI or ML development and operational lifecycles.
- Certifications such as CISSP, CISM, CDPSE, AIGP, or ISO/IEC 42001 Lead Implementer or Lead Auditor.
- Experience working in a regulated industry or with regulators, boards, or audit committees on AI risk topics.
Responsibilities
- Advise security, risk, data, technology, and business leaders on enterprise AI security strategy, governance, and risk appetite.
- Lead complex, multi-workstream AI security strategy projects and technology implementations, from current-state assessment and target operating model design through governance implementation and adoption.
- Define scalable cybersecurity and governance patterns, including AI risk taxonomies, control frameworks, policy structures, intake and approval processes, and board or executive reporting models.
- Provide strategic oversight across Data, Infrastructure, Identity, Application Security, and Security Operations workstreams, aligning technical delivery with client risk appetite and strategic objectives.
- Lead pursuits and account growth by shaping strategic solutions, executive workshops, scope, estimates, pricing inputs, and delivery approaches.
- Oversee client relationships, engagement quality, delivery risk, and customer satisfaction across a portfolio of AI security strategy projects.
- Build practice capability through offerings, alliances, thought leadership, reusable accelerators, and development of future leaders.
- Lead projects or workstreams, manage multiple tasks and deadlines, and mentor and provide guidance to others.
Benefits
- May be eligible to participate in a discretionary annual incentive program, subject to the program rules and applicable factors.
- Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
